Remote proctoring: Lessons learned from the <scp>COVID</scp> ‐19 pandemic effect on the large scale <scp>on‐line</scp> assessment at Tel Aviv University-Reference-Cited by-同舟云学术

Remote proctoring: Lessons learned from the COVID ‐19 pandemic effect on the large scale on‐line assessment at Tel Aviv University

Published:2022-09-30 Issue:6 Volume:38 Page:1554-1573
ISSN:0266-4909
Container-title:Journal of Computer Assisted Learning
language:en
Short-container-title:Computer Assisted Learning

Author:

Patael Smadar¹²^ORCID,Shamir Julia¹³,Soffer Tal¹⁴^ORCID,Livne Eynat¹,Fogel‐Grinvald Haya²,Kishon‐Rabin Liat¹²^ORCID

Affiliation:

1. Center of Innovation in Teaching and Learning Tel Aviv University Tel Aviv‐Yafo Israel

2. Department of Communication Disorders, Steyer School of Health Professions, Sackler Faculty of Medicine Tel Aviv University Tel Aviv‐Yafo Israel

3. Coller School of Management Tel Aviv University Tel Aviv‐Yafo Israel

4. School of Education, Faculty of Humanities Tel Aviv University Tel Aviv‐Yafo Israel

Publisher

Wiley

Subject

Computer Science Applications,Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcal.12746

Reference94 articles.

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4. Alexandron G. Lee S. Chen.Z. Pritchard.V.(2016 January).Detecting cheaters in MOOCs using item response theory and learning analytics. In UMAP (Extended Proceedings). Al‐Hattami A.A. (2020). E‐assessment of students' performance during the e‐teaching andlearning International Journal of Advanced Science and Technology 29(8) 1537–1547.

5. Alexandron G. Ruipérez‐Valiente J. A. &Pritchard D. E.(2020).Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses.

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